INTELLIGENT DIGITAL GOVERNMENT PLATFORMS: LEVERAGING MACHINE LEARNING AND CLOUD ARCHITECTURE FOR SOCIAL SERVICE DELIVERY
DOI:
https://doi.org/10.15680/n3vzr704Keywords:
Intelligent Digital Government Platforms, Machine Learning, Cloud Computing, Social Service Delivery, Digital Transformation, AI in Governance, Public Sector Innovation, Data-Driven Decision Making, Microservices Architecture, API Integration, Predictive Analytics, Smart Governance, Cloud-Native Systems, Citizen-Centric ServicesAbstract
The rapid evolution of digital technologies is transforming how governments design, deliver, and optimize public services. Intelligent Digital Government Platforms represent a new paradigm that integrates machine learning (ML) and cloud-native architectures to enhance efficiency, scalability, and citizen-centric service delivery. This paper explores the architectural foundations, technological enablers, and practical applications of such platforms in modern governance systems.
By leveraging machine learning algorithms, governments can transition from reactive service models to predictive and proactive service delivery, enabling improved decision-making, fraud detection, demand forecasting, and personalized citizen engagement. Simultaneously, cloud computing provides the scalability, resilience, and cost-efficiency required to handle large-scale public sector workloads and data-intensive operations.
The study examines key components including data pipelines, AI/ML models, microservices-based architectures, API gateways, and security frameworks. It also highlights real-world use cases such as welfare distribution, healthcare systems, and smart urban governance. Furthermore, the paper discusses implementation challenges, including data privacy, interoperability, ethical considerations, and digital divide issues.
Ultimately, this research demonstrates how intelligent digital platforms can redefine public service delivery by fostering transparency, inclusivity, and operational excellence. The convergence of machine learning and cloud architecture is positioned as a critical driver for building agile, responsive, and citizen-centric digital governments of the future.
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